{"uid":"cap_e5lR3QUiG5iDO8Vf4k6J-","slug":"duplicate-observations-analytics-record-quality-audit-exact-row-3baabe2a","name":"Duplicate Observations Analytics: Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram","description":"Duplicate observations — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied duplicate observations records (duplicate_rows, total_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-219?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_rows"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm__PCq2Zct_he4RfDWgwG3C","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs three local analytical reports on duplicate observation data: a record quality audit, exact row deduplication, and an equal-width histogram for a specified numeric field.","exampleAgentPrompt":"Can you run a record quality audit, exact row deduplication, and a 10-bin equal-width histogram on the duplicate_rows field for my dataset? I have 4 rows: row-1 on 2026-10-01 in group-a with 10 duplicate_rows out of 1 total, row-2 on 2026-10-02 in group-b with 20 duplicate_rows out of 2 total, row-3 on 2026-10-03 in group-a with 15 duplicate_rows out of 3 total, and row-4 on 2026-10-04 in group-b with 30 duplicate_rows out of 4 total.","exampleUseCases":[{"title":"Data pipeline duplicate audit","prompt":"I've got a dataset of 50 observation records with row IDs, dates, dataset groups, and duplicate_rows and total_rows counts — can you audit their record quality, remove exact duplicates, and give me a 5-bin histogram over duplicate_rows so I can see the distribution?"},{"title":"Dataset group deduplication review","prompt":"Run a quality audit and exact row deduplication report on my dataset observations; I have rows from groups alpha and beta across October 2026 — I want to see which rows are exact duplicates and a histogram of total_rows across 8 bins."},{"title":"Monthly duplicate trend histogram","prompt":"I have 200 rows of duplicate observation records for November 2026 across multiple dataset groups — please audit record quality, deduplicate exact rows, and generate a 15-bin histogram on the duplicate_rows field so I can understand the spread."}],"resultDescription":"Three independent analytical reports returned for the submitted rows: (1) a record quality audit flagging missing, malformed, or outlier values; (2) an exact row deduplication report identifying and removing identical records; (3) an equal-width histogram with the specified number of bins over the chosen numeric field (duplicate_rows or total_rows), including bin boundaries and counts.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, dataset_group, duplicate_rows, total_rows) causes row rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","bins value outside 1–30 range returns a schema validation error","Null values for numeric fields are accepted but may affect histogram binning","field enum value not 'duplicate_rows' or 'total_rows' causes a validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tabular duplicate-observation records and need all three analyses — record quality audit, exact deduplication, and a histogram — in a single call at low cost ($0.01 USDC). It is ideal for offline/batch data quality checks on structured datasets without needing live lookups, external APIs, or ML predictions. Prefer alternatives if you need real-time deduplication, fuzzy matching, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:00:33.557Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-record-quality-audit-exact-row-3baabe2a"}